Benjamin Tan

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Information Systems — 41 citations into it; #6,069 of 8,771 by trust here, #7,997 by citations
• Natural Language Processing — 33 citations into it
• Software — 32 citations into it
• Large Language Models — 24 citations into it
• Code Generation & Program Synthesis — 13 citations into it
• Model Architectures — 8 citations into it

Whom Benjamin Tan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alec Radford
2. Rolf Drechsler
3. Martin Sundermeyer
4. Jacob Devlin
5. Ian G. Harris
6. Nan Jiang
7. Yoshua Bengio
8. Ashish Vaswani
9. Pengfei Liu
10. Geoffrey E. Hinton

Who trusts Benjamin Tan overall

1. Hammond A. Pearce
2. Siddharth Garg

Papers from Benjamin Tan's perspective

Ordered by how strongly the researchers Benjamin Tan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions (2021) — 856 citations
• DAVE: Deriving Automatically Verilog from English (2020) — 100 citations
• VeriGen: A Large Language Model for Verilog Code Generation (2023) — 389 citations
• An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions (2021) — 51 citations
• Examining Zero-Shot Vulnerability Repair with Large Language Models (2021) — 339 citations